Animation: The Earnings of the Biggest Movie Franchises Over the Last 20 Years
Assembling the World Country-by-Country, Based on Economy Size
The eSports Boom, and the Numbers Behind the Sectors Explosive Growth
How Decentralized Finance Could Make Investing More Accessible
How the Composition of Wealth Differs, from the Middle Class to the Top 1%
Mapped: The Salary Needed to Buy a Home in 50 U.S. Metro Areas
The Best and Worst Performing Wealth Markets in the Last 10 Years
5 Ways Technology is Transforming the Healthcare Industry
Electronic Health Records as a GPS for Healthcare
The Evolution of Hydrogen: From the Big Bang to Fuel Cells
Mapped: Every Power Plant in the United States
Animation: The Entire History of Tesla in 5 Minutes
20 Common Metal Alloys and What Theyre Made Of
How AI and Big Data Will Unlock the Next Wave of Mineral Discoveries
Mapped: The Countries With the Most Sustainable Corporate Giants
The Evolution of Hydrogen: From the Big Bang to Fuel Cells
The Worlds 25 Largest Lakes, Side by Side
Visualizing the Worlds Top Plastic Emitting Rivers
Visualizing the Happiest Country on Every Continent
Which Countries Are Set to Attract the Highest Skilled Workers from Abroad?
In recent decades, extreme world poverty hasdeclined significantlyand many millions of people have joined the swelling ranks of the middle class particularly in China.
While these economic shifts are positive, its the other end of the global wealth spectrum that attracts the most attention. A high degree of wealth creation is amassed by those at the top of the economic pyramid.
Today, slightly less than 1% of the worlds adult population occupies the $1M+ wealth range. Despite their small numbers, this elite group collectively controls 46% of the worlds wealth, valued at approximately $129 trillion.
On the flip side of the equation, 70% of worlds population fall into the sub-$10K wealth band. This majority of people around the world collectively control a mere 2.7% of the worlds wealth.
Even as the rich get richer, there is good news for the majority. The percentage of people in that lowest wealth band has been shrinking over the years.
Not only is money concentrated among a small portion of the population, those people tend togravitatetowards global cities such as London, Hong Kong, and New York.
In fact, 70% of ultra high net worth individuals (UHNWIs) persons with investable assets of $30 million or more reside in just ten cities around the world.
According toCredit Suisse, emerging markets now account for 22% of growth in the UHNWIs category up from just 6% growth in 2000 with China alone adding over 16,000 UHNWIs to the mix. Many members of this elite class may generate their wealth in emerging economies around the world, but as we can see from the map above, the worlds richest people end up very concentrated, geographically speaking.
As the visualization below demonstrates, wealth accumulates in Europe and North America. This trend is so pronounced that it only becomes evident once the scale is adjusted to see the detail in the upper percentiles.
One thing is for certain the world is changing quickly, and just as this graph would have looked very different 20 years ago, global wealth will almost certainly look different in 20 years time.
Chart: The Worlds Largest 10 Economies in 2030
The Geography of Americas Distressed Communities
Smart mining technology is helping to enhance safety, increase production, and optimize resources by analyzing large swaths of real-time data.
View the full-size version of the infographic byclicking here
Mining has traditionally been depicted with pack mules, pickaxes, and rugged prospectors.
However, it may surprise you to learn that todays mining industry is precisely the opposite in almost every respect. Its high-tech, efficient, and safe.
This is partially because modern mining companies are deploying the latest in sensor and cloud technology. These connected mines are improving the extraction process and workers safety while also boosting productivity.
Todays infographic comes to us fromNatural Resources Canadaand discusses how this sensor and cloud technology can be integrated into the extractive process.
A connected mine uses data from sensor technology to effectively manage underground and pit mining operations.
Any mining operation today will have in the thousands or hundreds of thousands of sensors capturing in real time a vast swath of data.
Mukani Moyo, McKinsey Senior Expert(Source)
From a single application on a mobile device, supervisors at mine sites can now receive alerts via SMS, email or in-app notifications. This helps them react to critical problems in real-time and maximize productivity.
In addition, advanced data analytics can be applied to the raw data to create insights, visualizations, and recommendations. This information is delivered to mine managers and employees in real-time on their mobile devices.
Dundee Precious Metals was one of the first companies to bring wireless networks into an underground mine. The company used RFID and Wi-Fi to monitor the location of equipment and people. The networks also allowed personnel to stay connected to the surface.
Once the networks were installed, communication was reliable and instantaneous even almost 2,000 feet underground at the bottom of the mine. Workers could bring laptops and smartphones into the mine to stay connected to personnel and software on the surface.
With an RFID chip on every vehicle, machine, and person, managers can see the location of everyone and everything in the mine. This helps prevent accidents and breakdowns, and streamlines operations in real-time.
There are also environmental and cost-saving benefits. Using location data, an automated ventilation system can respond and minimize energy consumption.
Fans turn on and off as miners enter or leave an area. In addition, fan speeds adjust when machines or vehicles are running nearby to ensure that emissions are properly vented. This could drastically reduce a mines energy requirements.
These smart mining solutions are reducing the risks miners face and creating new opportunities for a tech-savvy generation.
Remote mine locations that revolve around shift work canplace stresson workers and their families. With a connected infrastructure, mine employees and managers can monitor operations at a distant office.
There will always be a need for workers on site, but connected technology can create some town-based career opportunities and help stabilize families.
Over time, data from sensor technology and cloud software, will reveal insights that could help develop sustainable mining operations.
By minimizing their negative impacts, mining companies will be able to responsibly deliver the materials the modern world needs.
How does the world map change if it gets assembled based on the size of economies, in ascending order of GDP or GDP per capita?
If you had to sketch a world map, youd probably start with a place that is familiar.
Perhaps you would begin by drawing your own continent, or maybe youd focus on the specific borders of the country you live in. Then, youd likely move to drawing the outlines of neighboring countries, eventually working your way to far and distant lands.
This would be a logical way for anyone to think about such a task, and it gives some insight as to how humans think about the world.
We start with whats familiar, and build it out until its a complete picture.
What if we assembled a world map in a completely different order?
Todays two animations come to us fromEngaging-Data, and they approach the world map from an alternate angle: assembling countries on the map in the order of their economic footprints.
The first map, shown below, uses nominal GDP to assemble countries in ascending order:
This version of the map shows the smallest economies first, with the larger economies at the end.
For this reason, the first economies appearing on the map tend to be developing nations, or nations with smaller geographical or demographic footprints.
For example, even though the Falkland Islands are wealthy on a per capita basis, the British Overseas Territory has fewer than 4,000 people, which gives it a minor footprint on a global stage.
Now, lets take a look at the same map, constructed in order of GDP per capita:
This animation is more cohesive, given that it is not dependent on population size. Instead the order here is based on economic output (in nominal terms) of the average person in each country or jurisdiction.
In this case, developing nations appear first and at the end, more developed regions (like Europe and North America) tend to fill out.
Note: All rankings here are in nominal terms, which use market rates to calculate comparable values in U.S. dollars, while omitting the cost of living as a factor. GDP rankings change significantly when usingPPP rates.
While assembling nations based on GDP provides an interesting way to look at the world, this same approach can be tried by applying other statistics as well.
We recommend checking outthis page, which allows you to assemble the world based on measures like population density, life expectancy, or population.
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